Data Engineer

Diverge Health is dedicated to improving health access and outcomes for disadvantaged populations. They are seeking a Data Engineer to join their team, focusing on designing and optimizing data architectures to support healthcare initiatives.

Responsibilities:

• Experience building, optimizing, and maintaining data pipelines – in particular, data pipeline development and maintenance with Python, Snowflake SQL, and DBT. Strong examples of automating data flows and optimizing performance and reliability will demonstrate this experience, regardless of technology choices. Experience with Salesforce is a plus!
• Data orchestration experience – practical experience in using data or workflow orchestration tools (such as Dagster, Prefect, Airflow, etc) to manage and schedule data workflows. Examples designing automated workflows that ensure data quality, reliability, handling failures, and monitoring data pipeline performance to support timely and accurate data delivery will demonstrate this experience
• Strong knowledge of common medical formats – hands on experience in integration with claims, EHRs and CRMs into data warehouses and operational systems. An understanding of claims consolidation, ICD, CPT and NDC codes are preferred as well as experience with front-end patient lookup software
• Problem-solving and optimization in data engineering – an ability to look at existing data flows, identify bottlenecks, and optimize performance and cost efficiency, when necessary. Provide some examples of how you’ve done this in the past
• Adaptability and eagerness to learn – excitement about learning new tools and technologies (e.g., new cloud platforms, additional ETL tools, or advanced orchestration methods). Give us samples on mastering new skills and applying them to improve data processes or pipelines
• Proven experience in complex healthcare environments – we’re looking for someone who has proven themselves in multiple environments – and with healthcare data specifically. This could be demonstrated with 7+ years of experience in data engineering and 7+ years of experience in healthcare, or by providing examples of handling the intricacies of healthcare data in highly complex environments
• Leadership, collaboration and communication within and across functional teams – work closely with data scientists, analysts, engineers, and business stakeholders to understand data needs and implement data solutions and lead a team in implementing cross-functional engineering projects simultaneously. Showcasing your cross-team collaboration and leadership to solve real business problems would demonstrate this experience
• Focus on reliable and scalable solutions – design and implement data pipelines that are not only functional but also scalable and maintainable. Examples of ensuring data integrity, handling data failures gracefully, and creating monitoring and alerting mechanisms are important for this role

Requirements:

• Experience building, optimizing, and maintaining data pipelines – in particular, data pipeline development and maintenance with Python, Snowflake SQL, and DBT
• Strong examples of automating data flows and optimizing performance and reliability
• Data orchestration experience – practical experience in using data or workflow orchestration tools (such as Dagster, Prefect, Airflow, etc) to manage and schedule data workflows
• Examples designing automated workflows that ensure data quality, reliability, handling failures, and monitoring data pipeline performance
• Strong knowledge of common medical formats – hands on experience in integration with claims, EHRs and CRMs into data warehouses and operational systems
• An understanding of claims consolidation, ICD, CPT and NDC codes
• Experience with front-end patient lookup software
• Problem-solving and optimization in data engineering – an ability to look at existing data flows, identify bottlenecks, and optimize performance and cost efficiency
• Adaptability and eagerness to learn – excitement about learning new tools and technologies
• Proven experience in complex healthcare environments – we're looking for someone who has proven themselves in multiple environments – and with healthcare data specifically
• Demonstrated with 7+ years of experience in data engineering and 7+ years of experience in healthcare
• Leadership, collaboration and communication within and across functional teams
• Focus on reliable and scalable solutions – design and implement data pipelines that are not only functional but also scalable and maintainable
• Experience with Salesforce
• Knowledge of some of our specific tools — Salesforce, Hightouch, Sigma
• Abilities and experience with other languages and technology stacks – Python, Hadoop, Glue, etc
• Teamwork, leadership, mentorship, and history helping teams and teammates grow and get stronger
• Start-up or small company experience